MemPersist

Name: MemPersist
Author: ravhirizaldi

作者：ravhirizaldi版本 1.0.1i★ –i在云端运行

注册名称io.github.ravhirizaldi/mempersist

安装

概览

作者提供的说明（英文原文）

Durable, revision-pinned memory storage and retrieval for AI conversations.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://mempersist.codifiedtech.id/mcp

在终端中运行这条命令

claude mcp add --transport http mempersist https://mempersist.codifiedtech.id/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "mempersist": {
      "url": "https://mempersist.codifiedtech.id/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "mempersist": {
      "type": "http",
      "url": "https://mempersist.codifiedtech.id/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://mempersist.codifiedtech.id/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 ravhirizaldi 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5668 个服务器的 0%
发布到注册中心的时间比此分类中其他 5668 个服务器的 51% 更新
基础检查结果等于或优于此分类中其他 5668 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

MemPersist 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.1）于39天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT2个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

MemPersist

Long-term memory for AI conversations, running entirely on Cloudflare. Original ChatGPT exports and normalized conversation graphs live in R2, a D1 catalog makes them queryable, lexical and semantic indexes stay disposable, and MCP exposes compact retrieval plus intentional writes.


MCP endpoint	`https://mempersist.codifiedtech.id/mcp`
Registry	`io.github.ravhirizaldi/mempersist` — version `1.0.1`
Runtime	Workers, D1, R2, Queues, Workers AI (BGE-M3), Vectorize, OAuth KV
Protocol	MCP v2 over stateless Streamable HTTP, OAuth 2.1 with PKCE S256
Scope	Single-operator V1, one Worker, one TypeScript package

What it does. Preserves every uploaded ChatGPT export byte-for-byte, normalizes branches and node metadata into revision-pinned canonical JSONL, indexes derived FTS and vector data, and answers search, context, and batch reads with deterministic IDs. Writes are intentional, revision-checked, and durable before indexing is queued.

What it refuses to do. It does not intercept ChatGPT traffic, extract replacement "facts", summarize with a model, or treat any index as canonical. No billing, organizations, or speculative multi-tenancy; no Durable Objects, Workflows, cron triggers, or containers. Deleting every chunk, FTS row, and vector does not delete memory. "Unlimited" means no application-level message quota — Cloudflare limits and billing still apply.

Architecture

flowchart TD

IMP["ChatGPT data export (conversations.json)"] --> V WRITE["MCP writes from any client"] --> V V["Validation and stable IDs"] --> R2[("R2 canonical archive raw import + immutable revisions")] R2 --> D1[("D1 catalog imports, revisions, graph, R2 pointers")] D1 --> Q["Cloudflare Queues import and index jobs"] Q --> FTS[("D1 FTS5 lexical chunks")] Q --> AI["Workers AI BGE-M3"] --> VEC[("Vectorize embeddings")] FTS --> SEARCH["Normalized hybrid search plus recent-canonical fallback"] VEC --> SEARCH SEARCH --> OUT["HTTP API and OAuth-protected MCP"] R2 --> EXPORT["Lossless export and recovery"]

Two ingestion paths, and they stay independent: the ChatGPT data export parser accepts the native conversations.json format only, while writes arrive through MCP from whichever client the caller uses. Both converge on the same canonical revision model, so a memory created by a tool call and one imported from an export are read, pinned, and restored identically.

R2 is the source of truth. A canonical write completes before its index job is queued, and an indexing failure never reports that durable memory was lost. Rebuilds read R2, so an export never needs to be uploaded twice. Full detail in ARCHITECTURE.md and docs/storage-and-indexing.md.

Quickstart

yarn install

cp .dev.vars.example .dev.vars # set a long random MEMORY_API_TOKEN yarn types:bindings yarn db:migrate:local yarn dev

Requires WSL2/Linux, Node.js 22+, Yarn 1.22, and Wrangler 4.x authenticated with yarn wrangler whoami. Use Yarn only. Local D1, R2, KV, and Queues are simulated; Workers AI and Vectorize point at real remote bindings in the main configuration, while unit and integration tests never call remote AI.

Connect any MCP client

MemPersist is a standard remote MCP server: stateless Streamable HTTP at https://mempersist.codifiedtech.id/mcp, OAuth 2.1 authorization code with PKCE S256, scope memory. Nothing in the endpoint is client-specific — the same handshake, tool contracts, and server instructions serve every caller. Point a client at the URL and it works:

Client	How to add it
Claude Code	`claude mcp add --transport http mempersist https://mempersist.codifiedtech.id/mcp`, then finish the email prompt
Codex CLI, ChatGPT desktop, IDE extension	`~/.codex/config.toml` (or project `.codex/config.toml`), then `codex mcp login mempersist`
Cursor, Claude Desktop, VS Code, Zed	add the URL as a remote (HTTP) MCP server in the client's MCP settings; the client starts the OAuth flow
ChatGPT	Developer mode, then add the URL as a custom MCP app
MCP Inspector, custom SDK clients	`npx @modelcontextprotocol/inspector`, or the official SDK client; use the URL and either OAuth or the developer token
stdio-only clients	keep the server remote and bridge stdio to HTTP with an OAuth-capable proxy; MemPersist itself never needs `npx`

Codex configuration:

[mcp_servers.mempersist]

type = "remote" url = "https://mempersist.codifiedtech.id/mcp"

auth = "oauth" is the default; run `codex mcp login mempersist` to authorize

The client discovers OAuth from the 401 challenge, opens the consent page, and stores the issued access and refresh tokens. The consent page takes an email and sends a single-use, 15-minute magic link through the EMAIL binding; the connection completes only after that link is opened, and an existing email reconnects to its archive. The single scope is memory, and the sender address is configuration (AUTH_EMAIL_FROM, LEGACY_AUTH_EMAIL_FROM), not part of the API contract. Never paste MEMORY_API_TOKEN into a connector.

Already-configured connections keep working across upgrades without re-authorization; the legacy hostname stays supported, and moving one client to the primary hostname costs exactly one new authorization.

Developer token

Scripts, the CLI, and non-interactive automation may send Authorization: Bearer instead of OAuth, which always maps to the owner archive. Every account may own multiple namespaces; the same namespace name in two accounts is separate data, and a supplied namespace is honored only when the caller owns it.

Local, without deploying

The MCP audience is deployment configuration, so point a development server at itself:

yarn dev --local --port 8787 --local-protocol https \

--var MCP_ORIGIN_OVERRIDE:https://127.0.0.1:8787

Discovery, consent, and token audiences then use https://127.0.0.1:8787, and both the .dev.vars developer token and the full OAuth flow work. Local send_email writes each magic link to .wrangler/tmp/email/ /email-text/. See docs/development.md.

Tools

24 tools, each carrying a human-readable title and read-only or destructive annotations. Retrieve first, then expand only what you selected.

Read

Tool	Title	Notes
`memory_search`	Search memories	Hybrid search, 1–20 references; filters and opaque cursor pagination
`memory_get_context`	Get memory context	Canonical messages around one result chunk, up to 10 each way
`memory_get_conversation`	Get conversation	Page one conversation's active timeline or full graph
`memory_get_messages`	Get messages	Exact source-node or optional keyed lookup, revision-pinned, ordered batch with opaque cursor and byte budget
`memory_get_conversations`	Get conversations	Revision-pinned batch read of 1–20 conversations, cursor-paged
`memory_list_conversations`	List conversations	Metadata and tags only, no bodies
`memory_list_revisions`	List revisions	Immutable revision history, newest first
`memory_resolve_conversations`	Resolve conversations	Exact-title lookup, no semantic search
`memory_list_namespaces`	List namespaces	Owned namespaces with conversation counts
`memory_stats`	Get memory statistics	Per-namespace counts and indexing health
`memory_import_status`	Get import status	Import progress, duplicate, or failure
`memory_get_capabilities`	Get capabilities	The deployed contract: versions, limits, per-tool bounds, and `message_keys` / `atomic_multi_conversation_commit` feature flags

memory_get_messages accepts 1–100 ordered selectors. Each selector names a conversation_id, optionally pins a revision_id, and uses exactly one of source_node_id (up to 200 characters) or the forward-compatible message_key (1–128 lowercase ASCII letters, digits, ., _, /, or -, starting and ending with a letter or digit). Omitted revisions pin each conversation's current head before any canonical R2 body is loaded; canonical loads are deduplicated by unique pinned revision, while duplicate selectors retain duplicate ordered results. The read-only lookup does not use FTS or Vectorize. Missing, foreign, deleted, or unknown conversations, revisions, nodes, and keys share the same bounded NOT_FOUND result. Duplicate canonical message keys return a bounded canonical-storage error and are never resolved by choosing one. Whole messages are admitted within the 32 KiB default, 4 KiB minimum, and 48 KiB maximum serialized budgets; an oversized message is not truncated and returns only bounded identity/byte diagnostics. Continuations use an opaque, HMAC-signed, tenant-bound cursor that preserves selector order and revision pins.

The optional message_key selector reads keyed fields written by memory_upsert_messages (and any canonical data that carries them). memory_upsert_messages is the stable-key writer for logical records; its contract is documented in the Write section below.

Context assembly

Tool	Title	Notes
`memory_build_context`	Build memory context	Deterministic, revision-pinned pack from 1–20 required conversations, optional hybrid evidence, explicit token and byte budgets

Write

Each write returns a bounded durable receipt with separate indexing and verification status, and accepts verify: true to reload t

只显示了开头部分；其余内容请在仓库中阅读

MemPersist

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

MemPersist

Architecture

Quickstart

Connect any MCP client

auth = "oauth" is the default; run codex mcp login mempersist to authorize

Developer token

Local, without deploying

Tools

Read

Context assembly

Write

auth = "oauth" is the default; run `codex mcp login mempersist` to authorize